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- W2354442217 abstract "The cooperating distribution under electronic commerce environment has the character of dispersive customer positions,large order forms,little batches and many repeated routes.The traditional optimizing route methods meet with diversified problems in different extents and are difficult to play their roles.Therefore,according to the particularity of logistic distribution under electronic commerce environment,the improved two-phase algorithm needs to be adopted to get solutions.Namely,the customer group can be divided into several regions using K-means clustering method in first phase.And in every region it can be decomposed into small scale subsets according with some restraint conditions using Scan Algorithm.In second phase,get the solutions of the customer point in every group using the Improved Genetic Algorithm.In fact it is route optimization problems of several single TSP model.In the end,the test proves the validity of this improved algorithm combining with examples." @default.
- W2354442217 created "2016-06-24" @default.
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- W2354442217 date "2007-01-01" @default.
- W2354442217 modified "2023-09-23" @default.
- W2354442217 title "Research on cooperating distribution routing of optimization for electronic commerce" @default.
- W2354442217 hasPublicationYear "2007" @default.
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